lr: 0.001
sub_1:Test (Best Model) - Loss: 20.6259 - Accuracy: 0.6905 - F1: 0.6630
sub_1:Test (Best Model) - Loss: 9.8772 - Accuracy: 0.7262 - F1: 0.7079
sub_1:Test (Best Model) - Loss: 14.4338 - Accuracy: 0.6905 - F1: 0.6788
sub_1:Test (Best Model) - Loss: 7.3544 - Accuracy: 0.7381 - F1: 0.7255
sub_1:Test (Best Model) - Loss: 13.4744 - Accuracy: 0.7262 - F1: 0.7040
sub_1:Test (Best Model) - Loss: 6.2807 - Accuracy: 0.8333 - F1: 0.8286
sub_1:Test (Best Model) - Loss: 4.3955 - Accuracy: 0.7976 - F1: 0.7976
sub_1:Test (Best Model) - Loss: 3.9994 - Accuracy: 0.7857 - F1: 0.7838
sub_1:Test (Best Model) - Loss: 4.4369 - Accuracy: 0.7976 - F1: 0.7962
sub_1:Test (Best Model) - Loss: 2.5774 - Accuracy: 0.7976 - F1: 0.7974
sub_1:Test (Best Model) - Loss: 5.9476 - Accuracy: 0.6786 - F1: 0.6415
sub_1:Test (Best Model) - Loss: 2.8474 - Accuracy: 0.8333 - F1: 0.8286
sub_1:Test (Best Model) - Loss: 16.4710 - Accuracy: 0.6429 - F1: 0.5906
sub_1:Test (Best Model) - Loss: 2.3451 - Accuracy: 0.7857 - F1: 0.7846
sub_1:Test (Best Model) - Loss: 3.2430 - Accuracy: 0.8452 - F1: 0.8425
sub_2:Test (Best Model) - Loss: 10.2899 - Accuracy: 0.5952 - F1: 0.5159
sub_2:Test (Best Model) - Loss: 2.5170 - Accuracy: 0.8690 - F1: 0.8668
sub_2:Test (Best Model) - Loss: 2.2614 - Accuracy: 0.8452 - F1: 0.8414
sub_2:Test (Best Model) - Loss: 6.0179 - Accuracy: 0.7262 - F1: 0.7040
sub_2:Test (Best Model) - Loss: 7.4915 - Accuracy: 0.6429 - F1: 0.5906
sub_2:Test (Best Model) - Loss: 2.2171 - Accuracy: 0.8214 - F1: 0.8183
sub_2:Test (Best Model) - Loss: 0.7024 - Accuracy: 0.8690 - F1: 0.8690
sub_2:Test (Best Model) - Loss: 2.0960 - Accuracy: 0.8333 - F1: 0.8330
sub_2:Test (Best Model) - Loss: 1.1785 - Accuracy: 0.8929 - F1: 0.8928
sub_2:Test (Best Model) - Loss: 0.9151 - Accuracy: 0.8810 - F1: 0.8809
sub_2:Test (Best Model) - Loss: 1.4896 - Accuracy: 0.8095 - F1: 0.8068
sub_2:Test (Best Model) - Loss: 1.9013 - Accuracy: 0.8571 - F1: 0.8564
sub_2:Test (Best Model) - Loss: 3.2630 - Accuracy: 0.7500 - F1: 0.7456
sub_2:Test (Best Model) - Loss: 1.2429 - Accuracy: 0.8690 - F1: 0.8681
sub_2:Test (Best Model) - Loss: 2.0588 - Accuracy: 0.8452 - F1: 0.8442
sub_3:Test (Best Model) - Loss: 8.8423 - Accuracy: 0.5833 - F1: 0.5176
sub_3:Test (Best Model) - Loss: 8.0385 - Accuracy: 0.5952 - F1: 0.5524
sub_3:Test (Best Model) - Loss: 9.8078 - Accuracy: 0.5119 - F1: 0.4094
sub_3:Test (Best Model) - Loss: 4.9909 - Accuracy: 0.6905 - F1: 0.6840
sub_3:Test (Best Model) - Loss: 10.6962 - Accuracy: 0.6071 - F1: 0.5452
sub_3:Test (Best Model) - Loss: 3.6570 - Accuracy: 0.8095 - F1: 0.8056
sub_3:Test (Best Model) - Loss: 2.6930 - Accuracy: 0.7262 - F1: 0.7252
sub_3:Test (Best Model) - Loss: 2.1680 - Accuracy: 0.7500 - F1: 0.7471
sub_3:Test (Best Model) - Loss: 4.2571 - Accuracy: 0.6548 - F1: 0.6535
sub_3:Test (Best Model) - Loss: 2.7577 - Accuracy: 0.6429 - F1: 0.6427
sub_3:Test (Best Model) - Loss: 11.4231 - Accuracy: 0.5952 - F1: 0.5265
sub_3:Test (Best Model) - Loss: 9.2430 - Accuracy: 0.5952 - F1: 0.5159
sub_3:Test (Best Model) - Loss: 4.3945 - Accuracy: 0.6786 - F1: 0.6473
sub_3:Test (Best Model) - Loss: 6.7450 - Accuracy: 0.7143 - F1: 0.6889
sub_3:Test (Best Model) - Loss: 7.9061 - Accuracy: 0.5714 - F1: 0.4750
sub_4:Test (Best Model) - Loss: 4.8512 - Accuracy: 0.7500 - F1: 0.7500
sub_4:Test (Best Model) - Loss: 2.9259 - Accuracy: 0.7024 - F1: 0.6972
sub_4:Test (Best Model) - Loss: 4.5320 - Accuracy: 0.6786 - F1: 0.6774
sub_4:Test (Best Model) - Loss: 3.6338 - Accuracy: 0.7738 - F1: 0.7738
sub_4:Test (Best Model) - Loss: 6.3188 - Accuracy: 0.6071 - F1: 0.6044
sub_4:Test (Best Model) - Loss: 4.2396 - Accuracy: 0.7500 - F1: 0.7393
sub_4:Test (Best Model) - Loss: 3.3844 - Accuracy: 0.7381 - F1: 0.7375
sub_4:Test (Best Model) - Loss: 2.7780 - Accuracy: 0.7857 - F1: 0.7838
sub_4:Test (Best Model) - Loss: 3.4290 - Accuracy: 0.7738 - F1: 0.7712
sub_4:Test (Best Model) - Loss: 5.6682 - Accuracy: 0.7024 - F1: 0.6897
sub_4:Test (Best Model) - Loss: 2.9345 - Accuracy: 0.7738 - F1: 0.7738
sub_4:Test (Best Model) - Loss: 2.7346 - Accuracy: 0.7143 - F1: 0.7083
sub_4:Test (Best Model) - Loss: 2.4371 - Accuracy: 0.7143 - F1: 0.7136
sub_4:Test (Best Model) - Loss: 1.6225 - Accuracy: 0.7857 - F1: 0.7856
sub_4:Test (Best Model) - Loss: 2.0736 - Accuracy: 0.8214 - F1: 0.8202
sub_5:Test (Best Model) - Loss: 2.4640 - Accuracy: 0.9167 - F1: 0.9164
sub_5:Test (Best Model) - Loss: 1.9835 - Accuracy: 0.8333 - F1: 0.8330
sub_5:Test (Best Model) - Loss: 3.4149 - Accuracy: 0.8095 - F1: 0.8085
sub_5:Test (Best Model) - Loss: 2.0886 - Accuracy: 0.8690 - F1: 0.8681
sub_5:Test (Best Model) - Loss: 1.5814 - Accuracy: 0.8929 - F1: 0.8927
sub_5:Test (Best Model) - Loss: 3.6403 - Accuracy: 0.8929 - F1: 0.8916
sub_5:Test (Best Model) - Loss: 1.3103 - Accuracy: 0.8214 - F1: 0.8194
sub_5:Test (Best Model) - Loss: 1.1433 - Accuracy: 0.8214 - F1: 0.8214
sub_5:Test (Best Model) - Loss: 2.7445 - Accuracy: 0.8095 - F1: 0.8024
sub_5:Test (Best Model) - Loss: 1.3516 - Accuracy: 0.8452 - F1: 0.8447
sub_5:Test (Best Model) - Loss: 2.0380 - Accuracy: 0.8095 - F1: 0.8056
sub_5:Test (Best Model) - Loss: 1.0858 - Accuracy: 0.8690 - F1: 0.8690
sub_5:Test (Best Model) - Loss: 2.8507 - Accuracy: 0.8333 - F1: 0.8330
sub_5:Test (Best Model) - Loss: 2.2411 - Accuracy: 0.8571 - F1: 0.8571
sub_5:Test (Best Model) - Loss: 3.5154 - Accuracy: 0.8810 - F1: 0.8807
sub_6:Test (Best Model) - Loss: 3.9797 - Accuracy: 0.6548 - F1: 0.6547
sub_6:Test (Best Model) - Loss: 4.1820 - Accuracy: 0.6905 - F1: 0.6860
sub_6:Test (Best Model) - Loss: 5.1542 - Accuracy: 0.5595 - F1: 0.5564
sub_6:Test (Best Model) - Loss: 9.5340 - Accuracy: 0.6071 - F1: 0.5860
sub_6:Test (Best Model) - Loss: 5.3066 - Accuracy: 0.6190 - F1: 0.6188
sub_6:Test (Best Model) - Loss: 5.0010 - Accuracy: 0.6905 - F1: 0.6816
sub_6:Test (Best Model) - Loss: 7.4939 - Accuracy: 0.6071 - F1: 0.6066
sub_6:Test (Best Model) - Loss: 4.4946 - Accuracy: 0.7143 - F1: 0.7141
sub_6:Test (Best Model) - Loss: 5.0727 - Accuracy: 0.5357 - F1: 0.5356
sub_6:Test (Best Model) - Loss: 3.5552 - Accuracy: 0.6548 - F1: 0.6535
sub_6:Test (Best Model) - Loss: 4.9615 - Accuracy: 0.5833 - F1: 0.5804
sub_6:Test (Best Model) - Loss: 4.7625 - Accuracy: 0.6786 - F1: 0.6774
sub_6:Test (Best Model) - Loss: 3.4257 - Accuracy: 0.6667 - F1: 0.6636
sub_6:Test (Best Model) - Loss: 3.7883 - Accuracy: 0.6429 - F1: 0.6396
sub_6:Test (Best Model) - Loss: 3.5624 - Accuracy: 0.5833 - F1: 0.5785
sub_7:Test (Best Model) - Loss: 4.8602 - Accuracy: 0.7381 - F1: 0.7326
sub_7:Test (Best Model) - Loss: 4.9755 - Accuracy: 0.6310 - F1: 0.6245
sub_7:Test (Best Model) - Loss: 10.2782 - Accuracy: 0.6548 - F1: 0.6150
sub_7:Test (Best Model) - Loss: 5.4238 - Accuracy: 0.5833 - F1: 0.5804
sub_7:Test (Best Model) - Loss: 7.8196 - Accuracy: 0.6667 - F1: 0.6421
sub_7:Test (Best Model) - Loss: 3.5072 - Accuracy: 0.6786 - F1: 0.6748
sub_7:Test (Best Model) - Loss: 2.7033 - Accuracy: 0.6786 - F1: 0.6730
sub_7:Test (Best Model) - Loss: 3.6519 - Accuracy: 0.5595 - F1: 0.5487
sub_7:Test (Best Model) - Loss: 3.6691 - Accuracy: 0.6429 - F1: 0.6410
sub_7:Test (Best Model) - Loss: 2.6802 - Accuracy: 0.6190 - F1: 0.6047
sub_7:Test (Best Model) - Loss: 3.8618 - Accuracy: 0.6310 - F1: 0.6305
sub_7:Test (Best Model) - Loss: 3.1534 - Accuracy: 0.6548 - F1: 0.6523
sub_7:Test (Best Model) - Loss: 2.7509 - Accuracy: 0.6190 - F1: 0.6136
sub_7:Test (Best Model) - Loss: 4.7881 - Accuracy: 0.5833 - F1: 0.5785
sub_7:Test (Best Model) - Loss: 4.7705 - Accuracy: 0.5952 - F1: 0.5943
sub_8:Test (Best Model) - Loss: 8.8590 - Accuracy: 0.7500 - F1: 0.7500
sub_8:Test (Best Model) - Loss: 9.0884 - Accuracy: 0.7738 - F1: 0.7699
sub_8:Test (Best Model) - Loss: 4.0463 - Accuracy: 0.7619 - F1: 0.7614
sub_8:Test (Best Model) - Loss: 5.1444 - Accuracy: 0.8214 - F1: 0.8208
sub_8:Test (Best Model) - Loss: 3.3219 - Accuracy: 0.7738 - F1: 0.7738
sub_8:Test (Best Model) - Loss: 2.0087 - Accuracy: 0.7976 - F1: 0.7974
sub_8:Test (Best Model) - Loss: 1.3758 - Accuracy: 0.9048 - F1: 0.9039
sub_8:Test (Best Model) - Loss: 2.7481 - Accuracy: 0.8214 - F1: 0.8212
sub_8:Test (Best Model) - Loss: 1.6099 - Accuracy: 0.8452 - F1: 0.8450
sub_8:Test (Best Model) - Loss: 1.7052 - Accuracy: 0.8452 - F1: 0.8447
sub_8:Test (Best Model) - Loss: 1.5574 - Accuracy: 0.8333 - F1: 0.8299
sub_8:Test (Best Model) - Loss: 4.3597 - Accuracy: 0.7500 - F1: 0.7333
sub_8:Test (Best Model) - Loss: 1.1858 - Accuracy: 0.8929 - F1: 0.8925
sub_8:Test (Best Model) - Loss: 2.3787 - Accuracy: 0.8452 - F1: 0.8414
sub_8:Test (Best Model) - Loss: 2.1788 - Accuracy: 0.8095 - F1: 0.8085
sub_9:Test (Best Model) - Loss: 2.6765 - Accuracy: 0.7738 - F1: 0.7699
sub_9:Test (Best Model) - Loss: 3.9255 - Accuracy: 0.7857 - F1: 0.7776
sub_9:Test (Best Model) - Loss: 2.4278 - Accuracy: 0.8333 - F1: 0.8318
sub_9:Test (Best Model) - Loss: 10.7116 - Accuracy: 0.5952 - F1: 0.5265
sub_9:Test (Best Model) - Loss: 5.7095 - Accuracy: 0.7619 - F1: 0.7504
sub_9:Test (Best Model) - Loss: 3.2208 - Accuracy: 0.7262 - F1: 0.7243
sub_9:Test (Best Model) - Loss: 5.5658 - Accuracy: 0.6786 - F1: 0.6785
sub_9:Test (Best Model) - Loss: 5.3985 - Accuracy: 0.7143 - F1: 0.7143
sub_9:Test (Best Model) - Loss: 0.6033 - Accuracy: 0.9405 - F1: 0.9405
sub_9:Test (Best Model) - Loss: 2.6638 - Accuracy: 0.8333 - F1: 0.8286
sub_9:Test (Best Model) - Loss: 6.2965 - Accuracy: 0.7262 - F1: 0.7172
sub_9:Test (Best Model) - Loss: 5.2966 - Accuracy: 0.6310 - F1: 0.5728
sub_9:Test (Best Model) - Loss: 7.4008 - Accuracy: 0.6667 - F1: 0.6250
sub_9:Test (Best Model) - Loss: 22.3099 - Accuracy: 0.6071 - F1: 0.5354
sub_9:Test (Best Model) - Loss: 7.3941 - Accuracy: 0.7143 - F1: 0.6932
sub_10:Test (Best Model) - Loss: 2.6073 - Accuracy: 0.6548 - F1: 0.6523
sub_10:Test (Best Model) - Loss: 3.6284 - Accuracy: 0.6667 - F1: 0.6619
sub_10:Test (Best Model) - Loss: 6.5455 - Accuracy: 0.5952 - F1: 0.5800
sub_10:Test (Best Model) - Loss: 4.6238 - Accuracy: 0.6548 - F1: 0.6523
sub_10:Test (Best Model) - Loss: 2.4828 - Accuracy: 0.7500 - F1: 0.7500
sub_10:Test (Best Model) - Loss: 2.8296 - Accuracy: 0.7143 - F1: 0.7143
sub_10:Test (Best Model) - Loss: 3.5202 - Accuracy: 0.6310 - F1: 0.6010
sub_10:Test (Best Model) - Loss: 6.2513 - Accuracy: 0.5238 - F1: 0.5059
sub_10:Test (Best Model) - Loss: 5.8483 - Accuracy: 0.6548 - F1: 0.6434
sub_10:Test (Best Model) - Loss: 3.8454 - Accuracy: 0.6310 - F1: 0.6152
sub_10:Test (Best Model) - Loss: 2.5350 - Accuracy: 0.6786 - F1: 0.6782
sub_10:Test (Best Model) - Loss: 2.5722 - Accuracy: 0.7262 - F1: 0.7243
sub_10:Test (Best Model) - Loss: 2.2096 - Accuracy: 0.7738 - F1: 0.7664
sub_10:Test (Best Model) - Loss: 2.3226 - Accuracy: 0.6786 - F1: 0.6774
sub_10:Test (Best Model) - Loss: 2.1223 - Accuracy: 0.6548 - F1: 0.6547
sub_11:Test (Best Model) - Loss: 3.8039 - Accuracy: 0.6071 - F1: 0.6003
sub_11:Test (Best Model) - Loss: 5.2570 - Accuracy: 0.6786 - F1: 0.6782
sub_11:Test (Best Model) - Loss: 3.0382 - Accuracy: 0.6905 - F1: 0.6898
sub_11:Test (Best Model) - Loss: 5.7147 - Accuracy: 0.5714 - F1: 0.5333
sub_11:Test (Best Model) - Loss: 2.9217 - Accuracy: 0.7500 - F1: 0.7483
sub_11:Test (Best Model) - Loss: 2.2302 - Accuracy: 0.7381 - F1: 0.7379
sub_11:Test (Best Model) - Loss: 3.7699 - Accuracy: 0.7500 - F1: 0.7491
sub_11:Test (Best Model) - Loss: 3.6327 - Accuracy: 0.7262 - F1: 0.7262
sub_11:Test (Best Model) - Loss: 2.4213 - Accuracy: 0.7976 - F1: 0.7976
sub_11:Test (Best Model) - Loss: 3.9082 - Accuracy: 0.7143 - F1: 0.7083
sub_11:Test (Best Model) - Loss: 6.9664 - Accuracy: 0.7024 - F1: 0.6972
sub_11:Test (Best Model) - Loss: 4.1328 - Accuracy: 0.7500 - F1: 0.7497
sub_11:Test (Best Model) - Loss: 3.4746 - Accuracy: 0.7262 - F1: 0.7145
sub_11:Test (Best Model) - Loss: 2.9231 - Accuracy: 0.7738 - F1: 0.7730
sub_11:Test (Best Model) - Loss: 2.6571 - Accuracy: 0.7619 - F1: 0.7614
sub_12:Test (Best Model) - Loss: 1.9938 - Accuracy: 0.7143 - F1: 0.7061
sub_12:Test (Best Model) - Loss: 2.0902 - Accuracy: 0.7619 - F1: 0.7529
sub_12:Test (Best Model) - Loss: 2.7925 - Accuracy: 0.7143 - F1: 0.7117
sub_12:Test (Best Model) - Loss: 0.9567 - Accuracy: 0.8571 - F1: 0.8568
sub_12:Test (Best Model) - Loss: 1.6820 - Accuracy: 0.7381 - F1: 0.7282
sub_12:Test (Best Model) - Loss: 13.2296 - Accuracy: 0.7262 - F1: 0.7079
sub_12:Test (Best Model) - Loss: 9.6223 - Accuracy: 0.7143 - F1: 0.6932
sub_12:Test (Best Model) - Loss: 9.8862 - Accuracy: 0.7381 - F1: 0.7326
sub_12:Test (Best Model) - Loss: 7.3200 - Accuracy: 0.7024 - F1: 0.6926
sub_12:Test (Best Model) - Loss: 6.4910 - Accuracy: 0.7619 - F1: 0.7585
sub_12:Test (Best Model) - Loss: 6.1040 - Accuracy: 0.7619 - F1: 0.7476
sub_12:Test (Best Model) - Loss: 2.7917 - Accuracy: 0.7738 - F1: 0.7641
sub_12:Test (Best Model) - Loss: 1.1500 - Accuracy: 0.8929 - F1: 0.8928
sub_12:Test (Best Model) - Loss: 3.4653 - Accuracy: 0.8095 - F1: 0.8091
sub_12:Test (Best Model) - Loss: 3.1233 - Accuracy: 0.8452 - F1: 0.8442
sub_13:Test (Best Model) - Loss: 9.4196 - Accuracy: 0.6786 - F1: 0.6730
sub_13:Test (Best Model) - Loss: 4.4129 - Accuracy: 0.7262 - F1: 0.7252
sub_13:Test (Best Model) - Loss: 3.2748 - Accuracy: 0.7500 - F1: 0.7439
sub_13:Test (Best Model) - Loss: 3.3653 - Accuracy: 0.6667 - F1: 0.6636
sub_13:Test (Best Model) - Loss: 4.0297 - Accuracy: 0.7500 - F1: 0.7497
sub_13:Test (Best Model) - Loss: 11.7314 - Accuracy: 0.6190 - F1: 0.5634
sub_13:Test (Best Model) - Loss: 2.6984 - Accuracy: 0.7619 - F1: 0.7619
sub_13:Test (Best Model) - Loss: 4.2990 - Accuracy: 0.7143 - F1: 0.7141
sub_13:Test (Best Model) - Loss: 6.7054 - Accuracy: 0.7262 - F1: 0.7214
sub_13:Test (Best Model) - Loss: 4.1948 - Accuracy: 0.7619 - F1: 0.7607
sub_13:Test (Best Model) - Loss: 4.3678 - Accuracy: 0.7262 - F1: 0.7145
sub_13:Test (Best Model) - Loss: 2.7844 - Accuracy: 0.7143 - F1: 0.7136
sub_13:Test (Best Model) - Loss: 1.2710 - Accuracy: 0.7381 - F1: 0.7282
sub_13:Test (Best Model) - Loss: 3.1555 - Accuracy: 0.7619 - F1: 0.7597
sub_13:Test (Best Model) - Loss: 3.2953 - Accuracy: 0.7619 - F1: 0.7607
sub_14:Test (Best Model) - Loss: 3.5370 - Accuracy: 0.7857 - F1: 0.7826
sub_14:Test (Best Model) - Loss: 2.4837 - Accuracy: 0.8810 - F1: 0.8807
sub_14:Test (Best Model) - Loss: 1.4553 - Accuracy: 0.7738 - F1: 0.7699
sub_14:Test (Best Model) - Loss: 3.9046 - Accuracy: 0.8214 - F1: 0.8183
sub_14:Test (Best Model) - Loss: 3.3772 - Accuracy: 0.7619 - F1: 0.7619
sub_14:Test (Best Model) - Loss: 1.3160 - Accuracy: 0.8810 - F1: 0.8809
sub_14:Test (Best Model) - Loss: 1.3497 - Accuracy: 0.8690 - F1: 0.8686
sub_14:Test (Best Model) - Loss: 2.1379 - Accuracy: 0.8095 - F1: 0.8085
sub_14:Test (Best Model) - Loss: 3.6774 - Accuracy: 0.7500 - F1: 0.7491
sub_14:Test (Best Model) - Loss: 1.3961 - Accuracy: 0.9167 - F1: 0.9166
sub_14:Test (Best Model) - Loss: 3.7358 - Accuracy: 0.7738 - F1: 0.7664
sub_14:Test (Best Model) - Loss: 2.2270 - Accuracy: 0.7738 - F1: 0.7722
sub_14:Test (Best Model) - Loss: 3.0904 - Accuracy: 0.8095 - F1: 0.8095
sub_14:Test (Best Model) - Loss: 4.8380 - Accuracy: 0.7976 - F1: 0.7927
sub_14:Test (Best Model) - Loss: 8.9100 - Accuracy: 0.7619 - F1: 0.7529

=== Summary Results ===

acc: 73.59 ± 6.84
F1: 72.64 ± 7.27
acc-in: 82.53 ± 6.55
F1-in: 82.22 ± 6.74
